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AnalySim: A web platform for collaborative data sharing and analysis
Jordan Vincent, Hieu Dinh, Daina Thomas, Anca Doloc-Mihu, Cengiz Gunay
Presenting author:
Cengiz Gunay
AnalySim is a website developed from scratch to help people create and share new projects that can include different types of datasets and analysis methods already implemented in the system. AnalySim aims to help with data sharing, data hosting for publications, interactive visualization, collaborative research, and crowdsourced analysis. It is especially designed for specialized for datasets with many changing parameters and recorded measurements, such those in computational neuroscience. Analysim provides tools that are specific for parameter search, but at the same time allows to run custom code. Offering these features on an interactive web platform improves visibility of one’s research and helps the reviewing process by allowing to reproduce others’ analyses. In addition, it fosters collaborative research by providing access to others' public datasets and analysis, creating opportunities to ask novel questions, guide one's research, and start new collaborations or join existing teams. Analysim can be said to provide a “social scientific environment”, which include features such as forking or cloning existing projects to customize them and tagging or following researchers and projects. In addition, one can filter datasets, duplicate analyses and improve them, and publish findings via interactive visualizations. In summary, Analysim is a Github-like tool specialized for scientific problems - especially when they are large and complex as in parameter search.